class_docstr: Meter to calculate top-k precision for single-label or multi-label
  image classification task. Note, ties are resolved randomly.
class_docstr_tok: ["Meter","to","calculate","top-k","precision","for","single-label","or","multi-label","image","classification","task",".","Note",",","ties","are","resolved","randomly","."]
code: def name(self):
      return "precision_at_k"
  
file_path: ClassyVision/classy_vision/meters/precision_meter.py
imports: from typing import Any, Dict, Sequence
  import torch
  from classy_vision.generic.distributed_util import all_reduce_sum
  from classy_vision.generic.util import is_pos_int, maybe_convert_to_one_hot
  from classy_vision.meters import ClassyMeter
  from .None import register_meter
label_desc: Use image node_id 3 for calling the PrecisionAtKMeter obj's underlying member method code with example usage: obj.name() and returns: str